Otomoto

Feature Importances

Model Summary

metric Score
mean-squared-error 353588671.939
root-mean-squared-error 18803.954
mean-absolute-error 5319.781
mean-absolute-percentage-error 0.037
R-squared 0.981

Predicted vs Actual

Residuals

Plot vs feature

Are predictions and residuals correlated with features?

Individual Predictions

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Prediction

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Contributions Plot

How has each feature contributed to the prediction?
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Partial Dependence Plot

Contributions Table

How has each feature contributed to the prediction?
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What if...

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Selected index: None

Prediction

input data incorrect

Feature Input

Adjust the feature values to change the prediction
Selected: None

Contributions Plot

How has each feature contributed to the prediction?
input data incorrect

Partial Dependence Plot

input data incorrect

Contributions Table

How has each feature contributed to the prediction?
input data incorrect

Feature Dependence

Shap Summary

Ordering features by shap value

Shap Dependence

Relationship between feature value and SHAP value

Decision Trees

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Decision Trees

Displaying individual decision trees inside xgboost model
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Decision path table

Decision path through decision tree
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